ABSTRACT
A vehicle recognition approach based on graph theory and neural networks is proposed in this paper. In this approach, image threshold method described in this paper based on spectral theory is used for image pre-processing. And after filter of undetermined regions with rules, regions left are unified. These values are input into neural network to recognize vehicle and vehicle types. The experiment proves that this method has high recognition rate and low false rate.
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